Interaction Analysis and Decomposition Principle for Control Structure Design of Large-scale Systems

doi:10.1016/S1004-9541(14)60002-1

Chinese Journal of Chemical Engineering ›› 2014, Vol. 22 ›› Issue (1): 59-71.DOI: 10.1016/S1004-9541(14)60002-1

• 过程系统工程与过程安全 • 上一篇下一篇

Interaction Analysis and Decomposition Principle for Control Structure Design of Large-scale Systems

罗雄麟, 刘雨波, 许锋

Research Institute of Automation, China University of Petroleum, Beijing 102249, China

收稿日期:2013-03-04 修回日期:2013-05-22 出版日期:2014-01-05 发布日期:2014-01-04
通讯作者: LUO Xionglin
基金资助:
Supported by the National Natural Science Foundation of China (21006127) and the National Basic Research Program of China (2012CB720500).

Interaction Analysis and Decomposition Principle for Control Structure Design of Large-scale Systems

LUO Xionglin, LIU Yubo, XU Feng

Research Institute of Automation, China University of Petroleum, Beijing 102249, China

Received:2013-03-04 Revised:2013-05-22 Online:2014-01-05 Published:2014-01-04
Contact: LUO Xionglin
Supported by:
Supported by the National Natural Science Foundation of China (21006127) and the National Basic Research Program of China (2012CB720500).

摘要/Abstract

摘要： Industrial processes are mostly large-scale systems with high order. They use fully centralized control strategy, the parameters of which are difficult to tune. In the design of large-scale systems, the decomposition according to the interaction between input and output variables is the first step and the basis for the selection of control structure. In this paper, the decomposition principle of processes in large-scale systems is proposed for the design of control structure. A new variable pairing method is presented, considering the steady-state information and dynamic response of large-scale system. By selecting threshold values, the related matrix can be transformed into the adjoining matrixes, which directly measure the couple among different loops. The optimal number of controllers can be obtained after decomposing the large-scale system. A practical example is used to demonstrate the validity and feasibility of the proposed interaction decomposition principle in process large-scale systems.

关键词: control structure, interaction analysis, interaction decomposition, threshold value

Abstract: Industrial processes are mostly large-scale systems with high order. They use fully centralized control strategy, the parameters of which are difficult to tune. In the design of large-scale systems, the decomposition according to the interaction between input and output variables is the first step and the basis for the selection of control structure. In this paper, the decomposition principle of processes in large-scale systems is proposed for the design of control structure. A new variable pairing method is presented, considering the steady-state information and dynamic response of large-scale system. By selecting threshold values, the related matrix can be transformed into the adjoining matrixes, which directly measure the couple among different loops. The optimal number of controllers can be obtained after decomposing the large-scale system. A practical example is used to demonstrate the validity and feasibility of the proposed interaction decomposition principle in process large-scale systems.

Key words: control structure, interaction analysis, interaction decomposition, threshold value

罗雄麟, 刘雨波, 许锋. Interaction Analysis and Decomposition Principle for Control Structure Design of Large-scale Systems[J]. Chinese Journal of Chemical Engineering, 2014, 22(1): 59-71.

LUO Xionglin, LIU Yubo, XU Feng. Interaction Analysis and Decomposition Principle for Control Structure Design of Large-scale Systems[J]. Chin.J.Chem.Eng., 2014, 22(1): 59-71.

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Interaction Analysis and Decomposition Principle for Control Structure Design of Large-scale Systems

Interaction Analysis and Decomposition Principle for Control Structure Design of Large-scale Systems

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